A Motor Recovery Training and Evaluation Method for the Upper Limb Rehabilitation Robotic System-Reference-Cited by-同舟云学术

A Motor Recovery Training and Evaluation Method for the Upper Limb Rehabilitation Robotic System

Published:2023-05-01 Issue:9 Volume:23 Page:9871-9879
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Cai Huimin¹^ORCID,Guo Shuxiang¹^ORCID,Yang Ziyi²,Guo Jian³^ORCID

Affiliation:

1. Key Laboratory of Convergence Medical Engineering System and Healthcare Technology, Ministry of Industry and Information Technology, Beijing Institute of Technology, Beijing, China

2. Graduate School of Engineering, Kagawa University, Takamatsu, Japan

3. Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems and Intelligent Robot Laboratory, Tianjin University of Technology, Tianjin, China

Funder

National Natural Science Foundation of China

Key Research Program of the Natural Science Foundation of Tianjin

Innovative Cooperation Project of Tianjin Scientific and Technological Support

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10113769/10080904.pdf?arnumber=10080904

Reference34 articles.

1. A review of methods for achieving upper limb movement following spinal cord injury through hybrid muscle stimulation and robotic assistance;nathan;Experim Neurol,2020

2. A Home-based Tele-rehabilitation System With Enhanced Therapist-patient Remote Interaction: A Feasibility Study

3. Quantitative Assessment of Upper-Limb Motor Function for Post-Stroke Rehabilitation Based on Motor Synergy Analysis and Multi-Modality Fusion

4. A task performance-based sEMG-driven variable stiffness control strategy for upper limb bilateral rehabilitation system;yang;IEEE/ASME Trans Mechatronics,2022

5. Haptic vs sensorimotor training in the treatment of upper limb dysfunction in multiple sclerosis: A multi-center, randomized controlled trial;claudio;J Neurolog Sci,2020

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2. Subject-Independent Estimation of Continuous Movements Using CNN-LSTM for a Home-Based Upper Limb Rehabilitation System;IEEE Robotics and Automation Letters;2023-10

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4. Modelling and Control of Upper Limb Rehabilitation System Based on Variable Stiffness Joints;2023 IEEE International Conference on Mechatronics and Automation (ICMA);2023-08-06

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